clarle

I think a Socratic Method-style AI tutor would work, though. It would be less about the LLM providing direct educational material themselves, but making sure the student is thinking about the right questions to direct themselves in learning the material.

People thought neural networks were just an interesting thought exercise a few decades ago and not for practical ML problems, and look what happened since then.

Population in developed countries is already decreasing, so who knows what happens after that? Unfortunately a lot of the foundations of our economy are built on top of an ever-increasing populace.

So much nostalgia on Cartoon Cartoon Summer Resort. That was how I got into adventure games in the first place.

Isn't that the benefit of LLM-powered accounting over existing rules-based software?

LLMs can help to handle the subjectivity in how GAAP is applied and provide justifications, which previous rules-based tax software could not before.

I think F1 got significantly more popular in the past few years with Drive to Survive on Netflix, and then most recently with the F1 movie on Apple TV.

It’s a sports league with history and has been around for a while, but I think significant popular mindshare only happened in the last 5 years.

Are Amazon and Meta the ones losing out the most here, in terms of the companies building foundational models?

Probably more understandable for Meta, since they've been leaving the B2B space since Workplace has been sunset. Amazon losing out on this is pretty rough for AWS though.

My hot take - this isn’t that much different than English speakers not being able to write in cursive anymore. It’s just not something that’s as practiced as much now that we have digital input methods.

iOS development has been around for quite some time now. Most senior iOS and Cocoa developers probably started with Objective-C before slowly migrating codebases over to Swift.

#2 is a slippery slope if you don't do it properly.

You might look end up looking at lots of different slices of your data, and you might come to the conclusion, "Oh, it looks like France is statistically significant negative on our new signup flow changes".

It's important to make sure you have a hypothesis for the given slice before you start the experiment and not just hunt for outliers after the fact, or otherwise you're just p-hacking [1].

[1] https://en.wikipedia.org/wiki/p-hacking

Anarchy Online did this before…18 years ago.

https://www.gamedeveloper.com/game-platforms/funcom-massive-...

Out of curiosity, what's the benefit of pharmaceuticals manufacturing in space?

Is there a benefit to manufacturing drugs in low gravity environments, or is it more of an experiment to see if it's feasible, in a future where more people might be living in space?

I loved Legends of Runeterra, but I knew the writing was on the wall from the very start.

Bummer considering it was one of the best F2P online TCGs out there (and that was probably also the problem, it's such great value for the F2P playerbase and didn't go as hard on monetization other than cosmetics).

LoR State of the Game Update for those that care:

https://playruneterra.com/en-us/news/game-updates/state-of-t...

I don't think it's VC funding as much as being a public company, and being beholden to quarterly earnings. That's the cycle for most "revolutionary" tech companies that end up needing to keep revenue growth going each quarter.

For what it's worth, I don't think it's wrong or bad, but just the way corporations work.

It is more for the other bigger corporations that will have more to lose, and will be flagged via outside auditors, that will pay it accurately.

I'm not opposed to psychedelics in any way (in fact very supportive), but not having a control group seems non-scientific to me.

Maybe this is the scientific method hardliner / rationalist in me, but to me, without a control group and proper statistical controls, there's no difference between this and say, alternative medicine, such as homeopathy or acupuncture, where people claim there are benefits without a true comparison.

I want this to be successful, but even as an iOS / macOS dev, I haven't seen enough really strong differentiation in Apple's dev offering so far that would make it so that someone would absolutely want to use VR for a non-gaming app compared to an app on iOS.

There's some pretty great innovations there like how Spaces and gestures work, but they're more incremental improvements rather than anything that would really get the general public very willing to adopt AR/VR for daily use outside of games.

The vast majority of users probably would never side load. The App Store and Play Store is more of a discovery and acquisition channel than anything else.

That’s the same argument used for government backdoors in phones. Yes, it’s good that these scenarios are stopped, but there’s a longer term outlook that we should take too.

  Infernal Light
  2BB

  Sorcery
  Search your library for a creature card card with power less than or equal to the number of cards in your hand, put that card onto the battlefield, and then shuffle.

  The eternal flame has no fuel.

I think one thing that's a challenge for a LLM is that small changes to text like "Search for a card and put that card into your hand" versus "Search for a card and put that card onto the battlefield" can have very different meanings and power levels.

Apollo doesn't show ads, right? In fact getting users away from Apollo and onto the main Reddit app would be net revenue positive.

Neural network algorithm research was considered more of an academic endeavor rather than something that could have practical implications from the 1960s to even the early 2000s, compared to other machine learning algorithms. Look at where it took us today.

Netflix uses “between six to twelve “ in its most recent culture document.

https://jobs.netflix.com/culture

Totally aware that this isn't a fully formal definition of deep learning, but one interesting takeaway for me is realizing that in a way, corporations with their formal and informal reporting structures are structured in a way similar to neural networks too.

It seems like these sort of structures just regularly arise to help regulate the flow of information through a system.

Furthermore, Peretti told the remaining staff that he would be focusing more of the company’s energy going forward on AI. “We will empower our editorial teams at all of our brands to do the very best creative work and build an interface where that work can be repacked and brought to advertisers more effectively,” he said. “And we will bring more innovation to clients in the form of creators, AI, and cultural moments than can only happen across BuzzFeed, Complex, HuffPost, Tasty and First We Feast.”

What the heck does that mean? It sounds like someone is talking about AI as purely a buzzword without really understanding what it is.

I thought it was easier when I closed my eyes and didn’t think about the time (just treated it like meditation). If I had my eyes open and saw the countdown, I kept just trying to want to breathe.

Interesting, the app itself is a web app. From the architecture docs:

The game client is a Backbone.js + Marionette application which runs in the browser.

And for the main game server and matchmaking:

The Game server is a Socket.io WebSocket server which handles multiplayer games.

The worker uses Kue to poll Redis-backed queues for tasks like game creation and matchmaking.

Yeah, there's no need for "AI" software on this project. From the images, it looks like a straight out-of-the-box use of YOLO v7 or something to make it seem more fancy, but this could be easily be done manually without any machine learning at all (or code for that matter).

I think this is the big one. On iOS, I don’t think most non-technical users know how to switch their default mobile Mail client if they use another alternative like Gmail or Outlook.

I was at Yahoo during the Marissa Mayer era.

I think the thing with Yahoo was that it tried do too much, and it never really had any focus on any particular vertical. Its legacy has always been that it was the place you would go for anything, and I think that hurt it more later on because the company itself was unfocused, and it didn't have a money-printing machine like Google's ads to fund the experimental work.

When Marissa Mayer was on board, the focus was "mobile and emerging products", which was absolutely the right call in 2012, but it was still too general to rally a company around. It had a lot of great small things, but none of them had enough investment to turn into a multi-billion dollar business on its own, as well as a lot of legacy things that still needed to be maintained.